generative ai

Generative AI in Peer Review: An Evaluation of Capabilities, Limitations, and Responsible Implementation Strategies

The results demonstrate clear competency boundaries for GenAI within the peer review, particularly concerning tasks requiring nuanced professional judgment, particularly concerning tasks requiring nuanced professional judgment.

Problem-based and project-based learning as promising frameworks for generative AI-supported education: Emerging evidence from a systematic review and three-level meta-analysis.

A three-level meta-analysis of 22 controlled studies found significant effects across four learner-internal outcome domains, including learning achievement and skill performance, higher-order thinking, affective and motivational outcomes, and collaboration and communication outcomes.

AI-enhanced knowledge ecosystems: a paradox framework for understanding knowledge sharing and hiding in generative AI

NERVE Attacks: Breaking AI-Powered Brain-Computer Interfaces

This work introduces the NERVE Attacks class, a systematic characterisation of five orthogonal attack dimensions that together span the complete BCI stack and presents EEGle, an AI-assisted extensible framework for systematic BCI security analysis.

The Future of Digital Companions: Intimacy, Attachment, and the Reconfiguration of Human Connection

It is proposed that digital companions are not only a new technology but a profound reconfiguration of intimacy, relational norms and intimacy in the modern society.

When AI Speaks the Student's Language: Toward a Theory of Linguistically Responsive Generative AI in African Higher Education

The paper proposes the Linguistic Mediation Proposition, which posits that the educational value of GenAI is partly determined by the alignment between learners’ linguistic repertoires and the linguistic responsiveness of AI-mediated learning environments.

Practising Algorithmic Authenticity in East African Public Relations: A Framework Grounded in Kenyan Cases

This paper reconceptualises authenticity, long treated as the currency of public trust in PR, as an ongoing practice rather than a fixed property a message possesses or lacks: a set of deliberate ethical decisions practitioners make each time they engage an AI tool.

Strategic prompting under technostress: A moderation study.

Self-reported strategic prompting is associated with cognitive-motivational dispositions and general academic technostress, which moderated the relationship between NFC avoidance and strategic prompting, which became more negative at higher levels of technostress.

Correction: The relationship between hope and learning engagement among Chinese university students: the serial mediating roles of generative AI acceptance and self-directed learning

[This corrects the article DOI: 10.3389/fpsyg.2026.1935139.].

The Use of Artificial Intelligence in Learning: Opportunities and Challenges in the Digital Era

The findings show that AI offers transformative opportunities in facilitating personalized learning, real-time feedback, the automation of formative assessment, and efficiency in designing educational content, and faces substantial ethical and pedagogical challenges.

Computational Creativity in the AI Era: A Research Agenda for Information Systems

The five articles in this Special Issue show that the promise of computational systems—in particular, generative AI—lies in configuring human and machine agency so that creative work produces ideas and artifacts that are deemed creative—that is, novel and useful—while also safeguarding the generative, effortful, accoun...

Purchase Advice and Observable Buyer Responses in Real AI Conversations

A central finding is a measurement limitation: recommendation content is observable much more often than a buyer's subsequent decision.